Kylie H. Alm

756 total citations
18 papers, 537 citations indexed

About

Kylie H. Alm is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Kylie H. Alm has authored 18 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Cognitive Neuroscience and 6 papers in Psychiatry and Mental health. Recurrent topics in Kylie H. Alm's work include Advanced Neuroimaging Techniques and Applications (13 papers), Functional Brain Connectivity Studies (10 papers) and Fetal and Pediatric Neurological Disorders (4 papers). Kylie H. Alm is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (13 papers), Functional Brain Connectivity Studies (10 papers) and Fetal and Pediatric Neurological Disorders (4 papers). Kylie H. Alm collaborates with scholars based in United States. Kylie H. Alm's co-authors include Ingrid R. Olson, Rebecca J. Von Der Heide, Athanasia Metoki, Yin Wang, Arnold Bakker, Tyler Rolheiser, Chi T. Ngo, William Heyward Hampton, Jessica A. Collins and Vinod Venkatraman and has published in prestigious journals such as PLoS ONE, NeuroImage and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Kylie H. Alm

17 papers receiving 534 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kylie H. Alm United States 12 321 293 85 80 51 18 537
Stine Kleppe Krogsrud Norway 11 353 1.1× 227 0.8× 78 0.9× 124 1.6× 42 0.8× 15 581
Marc-Antoine d’Albis France 16 291 0.9× 214 0.7× 249 2.9× 79 1.0× 37 0.7× 22 624
Michael Stockman United States 6 342 1.1× 199 0.7× 85 1.0× 64 0.8× 58 1.1× 6 482
Lena Oestreich Australia 15 353 1.1× 172 0.6× 148 1.7× 34 0.4× 53 1.0× 30 540
Emily Kilroy United States 14 431 1.3× 211 0.7× 177 2.1× 63 0.8× 26 0.5× 27 689
Frank Kreuder Germany 10 518 1.6× 389 1.3× 78 0.9× 143 1.8× 53 1.0× 10 758
Akiko Uematsu Japan 10 282 0.9× 188 0.6× 61 0.7× 161 2.0× 52 1.0× 16 609
Mitsuaki Shimizu Japan 8 289 0.9× 241 0.8× 201 2.4× 47 0.6× 47 0.9× 8 484
Johnny Ng United States 8 235 0.7× 240 0.8× 67 0.8× 55 0.7× 32 0.6× 10 408

Countries citing papers authored by Kylie H. Alm

Since Specialization
Citations

This map shows the geographic impact of Kylie H. Alm's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kylie H. Alm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kylie H. Alm more than expected).

Fields of papers citing papers by Kylie H. Alm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kylie H. Alm. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kylie H. Alm. The network helps show where Kylie H. Alm may publish in the future.

Co-authorship network of co-authors of Kylie H. Alm

This figure shows the co-authorship network connecting the top 25 collaborators of Kylie H. Alm. A scholar is included among the top collaborators of Kylie H. Alm based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kylie H. Alm. Kylie H. Alm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Callow, Daniel D., Kylie H. Alm, Corinne Pettigrew, et al.. (2025). Tau PET Burden Is Associated With Hippocampal Microstructure and Episodic Memory in Amyloid Positive Older Adults. Hippocampus. 35(6). e70038–e70038.
2.
Kahana, Michael J., Lynn J. Lohnas, M. Karl Healey, et al.. (2024). The Penn Electrophysiology of Encoding and Retrieval Study.. Journal of Experimental Psychology Learning Memory and Cognition. 50(9). 1421–1443. 2 indexed citations
3.
Alm, Kylie H., Caroline L. Speck, Anja Soldan, et al.. (2023). Tau PET burden in Brodmann areas 35 and 36 is associated with individual differences in cognition in non-demented older adults. Frontiers in Aging Neuroscience. 15. 1272946–1272946. 5 indexed citations
4.
Alm, Kylie H., Anja Soldan, Corinne Pettigrew, et al.. (2022). Structural and Functional Brain Connectivity Uniquely Contribute to Episodic Memory Performance in Older Adults. Frontiers in Aging Neuroscience. 14. 951076–951076. 6 indexed citations
5.
Marvel, Cherie L., Kylie H. Alm, Alison W. Rebman, et al.. (2022). A multimodal neuroimaging study of brain abnormalities and clinical correlates in post treatment Lyme disease. PLoS ONE. 17(10). e0271425–e0271425. 8 indexed citations
6.
Alm, Kylie H., Andréia V. Faria, Abhay Moghekar, et al.. (2019). Medial temporal lobe white matter pathway variability is associated with individual differences in episodic memory in cognitively normal older adults. Neurobiology of Aging. 87. 78–88. 10 indexed citations
7.
Alm, Kylie H. & Arnold Bakker. (2019). Relationships Between Diffusion Tensor Imaging and Cerebrospinal Fluid Metrics in Early Stages of the Alzheimer’s Disease Continuum. Journal of Alzheimer s Disease. 70(4). 965–981. 25 indexed citations
8.
Wang, Yin, Athanasia Metoki, Kylie H. Alm, & Ingrid R. Olson. (2018). White matter pathways and social cognition. Neuroscience & Biobehavioral Reviews. 90. 350–370. 80 indexed citations
9.
Alm, Kylie H., Chi T. Ngo, & Ingrid R. Olson. (2018). Hippocampal signatures of awake targeted memory reactivation. Brain Structure and Function. 224(2). 713–726. 16 indexed citations
10.
Metoki, Athanasia, Kylie H. Alm, Yin Wang, Chi T. Ngo, & Ingrid R. Olson. (2017). Never forget a name: white matter connectivity predicts person memory. Brain Structure and Function. 222(9). 4187–4201. 19 indexed citations
11.
Hampton, William Heyward, et al.. (2017). Dissociable frontostriatal white matter connectivity underlies reward and motor impulsivity. NeuroImage. 150. 336–343. 46 indexed citations
12.
Ngo, Chi T., Kylie H. Alm, Athanasia Metoki, et al.. (2017). White matter structural connectivity and episodic memory in early childhood. Developmental Cognitive Neuroscience. 28. 41–53. 23 indexed citations
13.
Alm, Kylie H., et al.. (2016). Individual differences in white matter microstructure predict semantic control. Cognitive Affective & Behavioral Neuroscience. 16(6). 1003–1016. 25 indexed citations
14.
Alm, Kylie H., et al.. (2016). Variation in White Matter Connectivity Predicts the Ability to Remember Faces and Discriminate Their Emotions. Journal of the International Neuropsychological Society. 22(2). 180–190. 46 indexed citations
15.
Cooper, Shanna, Kylie H. Alm, Ingrid R. Olson, & Lauren M. Ellman. (2016). White matter alterations in individuals experiencing attenuated positive psychotic symptoms. Early Intervention in Psychiatry. 12(3). 372–379. 11 indexed citations
16.
Alm, Kylie H., Tyler Rolheiser, & Ingrid R. Olson. (2016). Inter-individual variation in fronto-temporal connectivity predicts the ability to learn different types of associations. NeuroImage. 132. 213–224. 28 indexed citations
17.
Alm, Kylie H., Tyler Rolheiser, Feroze B. Mohamed, & Ingrid R. Olson. (2015). Fronto-temporal white matter connectivity predicts reversal learning errors. Frontiers in Human Neuroscience. 9. 343–343. 22 indexed citations
18.
Olson, Ingrid R., et al.. (2015). Development of the uncinate fasciculus: Implications for theory and developmental disorders. Developmental Cognitive Neuroscience. 14. 50–61. 165 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026